Quality Index Research Articles

Spinal Cord Stimulation with implantation of Surgical Leads is a sufficient salvage therapy for patients suffering from persistent spinal pain syndrome – a retrospective single-center experience

ObjectivePersistent spinal pain syndrome (PSPS) poses a significant medical challenge, often leading to diminished quality of life for affected individuals. In response to this clinical dilemma, Spinal Cord Stimulation (SCS) has emerged as a promising intervention aimed at improving the functional outcomes and overall well-being of patients suffering from these debilitating syndrome. In case a therapy with percutaneous lead fails, e.g. due to a dislocation, surgical lead can be used as a stable alternative. This is resulting in a more invasive procedure and does not allow for intraoperative monitoring. The aim of the study is to investigate the efficacy and safety of the use of surgical leads, as there have been only a few case series published so far. MethodsWe included PSPS patients that gave consent to a SCS therapy and were treated with Surgical Leads. Outcome scores concerning the quality of life (SF-36), pain related disability (Oswestry disability index [ODI]), sleeping quality (Pittsburgh Sleep Quality Index [PSQI]), and pain intensity (NRS) were obtained prior surgery and at outpatient visits after permanent implantation. ResultsIn this study, 36 patients were implanted with a Surgical Lead SCS system. One patient developed a new neurological deficit characterized by left-sided leg paresis attributable to postoperative hemorrhage, and another patient experienced a wound infection. These complications contributed to an overall morbidity rate of 5.6%. In overall 5 patients (20.8%) the electrodes were explanted within the first month. Follow-up data of 24 subjects with a median time of 21 [15-47] months were available. The mean pain intensity at rest and in motion was reduced. Further pain depending disability improved from a median ODIpreop=38 [30-57]% to ODIfollow-up =21 [9-35]% (p<0.01). Additionally the Sleeping Quality and the Quality of Life improved concerning the physical (Median PCS preop=22.5 [20.4-30.4] vs. PCSfollow-up = 41.8 [35.2-47.0], p < 0.01).) and mental (Median MCSpreop=45.4 [31.1-55.5] vs. MCSfollow-up=58.1 [47.6-59.8], p=0.018). component. ConclusionSCS with surgical leads is a safe secondary technique to treat PSPS, where treatment with percutaneous leads fail. The results show a promising long-term effect concerning pain intensity and functional outcome.

Polysomnographic and clinical characteristics of sleep apnea headache patients.

Sleep apnea headache can be defined as a persistent, widespread, throbbing headache that occurs recurrently, is not accompanied by any additional symptoms after waking up, and usually resolves within four hours. Diagnosis of the condition requires confirmation through polysomnography with an apnea-hypopnea index of at least 5, indicating the presence of obstructive sleep apnea syndrome (OSAS). While sleep apnea headaches are common in 10-15% of individuals with OSAS, morning headaches are experienced by 5% of this population. The aim of this study is to examine both polysomnographic and clinical features associated with sleep apnea headache in individuals confirmed to have OSAS by polysomnography. The study was conducted in the sleep center of University of Health Science, Erenköy Mental and Nervous Disease Training and Research Hospital. We have examined the clinical and polysomnographic data of the patients with sleep apnea headache (SAH) diagnosed according to IHS-3 criteria retrospectively and grouped the patients as mild, moderate and severe OSAS. Patients with morning headache except sleep apnea headache and under PAP titration treatment were excluded. The differences between the sleep macro structures of patients with (WSAH) and without sleep apnea headache (WOSAH) were examined. The WSAH group consisted of 384 participants and the control group (WOSAH) consisted of 294 participants The mean age was 46.29 ± 12.18 and 45.08 ± 12.62 years, respectively. Patients in the WSAH group had significantly higher scores on the Epworth Sleepiness Scale (ESS) (p = 0.004) and higher periodic limb movement index (PLMI) (p = 0.014) compared to the WOSAH group. WSAH patients exhibited shorter wake times after sleep onset (WASO) and lower scores on the sleep quality index, in contrast to WOSAH patients. Additionally, within the WSAH group, there was a negative correlation between age and several sleep parameters, including total sleep parameters. A positive correlation was observed between sleep duration (p = 0.009), waking up after sleep (p = 0.043), sleep efficiency (p = 0.001) and apnea-hypopnea index (AHI) (p = 0.018). Additionally, ESS scores were positively correlated with AHI and total awake time (p = 0.000 and p = 0.008, respectively), while negatively correlated with stage N3 sleep percentage and mean minimum oxygen level (p = 0.001 and p = 0.020, respectively) in the WSAH group. The causes and possible mechanisms of sleep apnea headache are not fully clarified and the underlying processes are not fully understood. Sleep apnea headaches appear to be related to disturbances in nocturnal sleep. Dysregulation in regions that modulate sleep and nociception may be one possible mechanism.

Lacticaseibacillus paracasei 207-27 alters the microbiota-gut-brain axis to improve wearable device-measured sleep duration in healthy adults: a randomized, double-blind, placebo-controlled trial.

Objective: Probiotics have been reported to exert beneficial effects on sleep through the gut-brain axis. Therefore, this randomized, double-blind, placebo-controlled trial assessed the effects of Lacticaseibacillus paracasei 207-27 supplementation on sleep quality and its safety and potential mechanisms. Method and study design: Healthy adults under mild stress aged 18-35 years consumed low or high doses of L. paracasei 207-27 or a placebo for 28 days. Fecal samples, blood samples, and questionnaires were collected at the baseline and the end of the intervention. Sleep quality was measured using wearable devices and Pittsburgh sleep quality index (PSQI) questionnaire. Serum inflammatory markers, corticotropin-releasing hormone, adrenocorticotropic hormone (ACTH), cortisol (COR), γ-aminobutyric acid, and 5-hydroxytryptamine levels were detected using enzyme-linked immunosorbent assay. The gut microbiota was analyzed using 16S rRNA sequencing and bioinformatics. Short-chain fatty acids levels were detected using gas chromatography-mass spectrometry. Results: Both the low-dose and high-dose groups exhibited significant improvements in wearable device- measured sleep duration compared to the placebo group. The global scores of PSQI in three groups significantly decreased after intervention without statistical difference between groups. At the phylum level, the low-dose group exhibited a higher relative abundance of Bacteroidota and a lower Firmicutes-to-Bacteroidetes (F/B) ratio. At the genus level, two treatment groups had higher relative abundance of Bacteroides and Megamonas, alongside lower levels of Escherichia-Shigella. Furthermore, the low-dose group exhibited significant increases in acetic acid, propionic acid, butyric acid, and valeric acid levels, while two treatment groups exhibited a significant decrease in COR levels. Correlation analysis revealed that the increased levels of acetic acid and butyric acid in the low-dose group may be associated with decreased ACTH. Conclusion: L. paracasei 207-27 administration in healthy adults resulted in improvements in gut microbiota community and sleep duration. The mechanisms might involve modulation of the gut microbiota structure to regulate the function of the gut-brain axis, including increases in SCFA levels and decreases in hypothalamic-pituitary-adrenal axis activity. The Chinese clinical trial registry number is ChiCTR2300069453 (https://www.chictr.org.cn/showproj.html?proj=191193, registered 16 May 2023 - retrospectively registered).

Spatial variation in physicochemical water quality parameters associated with Rice farming in the Dakalt Branch Canal, Kafrelsheikh governorate, Egypt

AbstractThe inappropriate use of chemical fertilizers and pesticides in rice farming has been identified as a significant source of pollution in the aquatic environments. The declining water quality has been a cause of concern for the riparian communities owing to ill health associated with the usage of contaminated water from lotic systems draining such rice‐growing areas and its potential to cause lethal and sublethal effects on aquatic organisms. The spatial variation of selected water quality parameters was assessed using multivariate techniques. Data from three sampling stations, collected in triplicates, were analyzed to understand the effects of rice farming practices on the Dakalt Branch Canal's water quality. Eleven physicochemical parameters were measured in situ with a portable multimeter, while nutrients and other chemical parameters were determined following the standard procedures outlined in the American Public Health Association using the UV/Visible spectrophotometer. One‐way ANOVA was used to establish whether or not there were significant differences among means of various parameters. The findings revealed considerable spatial variability in the means for nearly all water quality parameters (p &lt; 0.05). The Water Quality Index revealed that all the sampling stations were polluted with indices of more than 100. We conclude that poor rice management practices are responsible for the observed pollution of the River Nile and potentially lethal and sublethal effects on aquatic organisms and human health. We therefore recommend regular monitoring of the water quality of the Dakalt Branch Canal and that the relevant stakeholders, including farmers, embrace Best Management Practices, especially when applying pesticides and fertilizers.

Spatial Pattern and Influence Mechanisms of Forest Land Quality under the Background of Carbon Peaking and Carbon Neutrality: A Case Study in Kaizhou District, Chongqing, China

Since the goals of carbon peaking and carbon neutrality have been established, forest carbon sinks have garnered significant attention. As a fundamental component of forest carbon sinks, the quality of forest land significantly influences the carbon sink capacity of forests. This study utilized Kaizhou District, Chongqing City, a typical forest area as a case study, and used the correction method, factor method, CASA model, landscape ecology indexes, and canonical correlation analysis to evaluate the level of forest land quality and reveal the spatial distribution pattern and influencing mechanisms of forest land quality. The results showed that: (i) The quality index of public welfare forest land was distributed in [37.89, 148.15], and each quality level was diversified in space. The quality index of commodity forest land was distributed in [40.00, 92.67], and some high-quality forest land appeared in the transition zone of each region; (ii) The forest land quality index and the amount of net primary productivity passed the correlation test. Primary net productivity was higher on forest land with a high-quality index and lower on forest area with a low-quality index; (iii) public welfare forest land was mainly positively affected by community structure, average annual precipitation, average annual temperature, and soil moisture. Commodity forest land was mainly positively affected by average annual temperature, soil moisture, and slope aspect. However, landform had a significant negative impact on the two types of forest land. Given these findings, we also proposed a series of measures aimed at promoting the sustainable development of research on regional forest land.

The Optimal Drought Hardening Intensity and Salinity Level Combination for Tomato (Solanum lycopersicum L.) Cultivation under High-Yield, High-Quality and Water-Saving Multi-Objective Demands

The extreme weather and the deteriorating water environment have exacerbated the crisis of freshwater resource insufficiency. Many studies have shown that salty water could replace freshwater to partly meet the water demand of plants. To study the effects of early-stage drought hardening and late-stage salt stress on tomatoes (Solanum lycopersicum L.), we conducted a 2-year pot experiment. Based on the multi-objective demands of high yield, high quality, and water saving, yield indicators, quality indicators, and a water-saving indicator were selected as evaluation indicators. Three irrigation levels (W1: 85% field capacity (FC), W2: 70% FC, W3: 55% FC) and three salinity levels (S2: 2 g/L, S4: 4 g/L, S6: 6 g/L) were set as nine treatments. In addition, a control treatment (CK: W1, 0 g/L) was added. Each treatment was evaluated and scored by principal component analysis. The results for 2022 and 2023 found the highest scores for CK, W2S2, W3S2 and CK, W2S4, W2S2, respectively. Based on response surface methodology, we constructed composite models of multi-objective demands, whose results indicated that 66–72% FC and 2 g/L salinity were considered the appropriate water–salt combinations for practical production. This paper will be beneficial for maintaining high yield and high quality in tomato production using salty water irrigation.

ANXIETY, DEPRESSION, AND QUALITY OF LIFE OF NURSES WORKING IN PUBLIC HOSPITALS

Nursing is often described as the art of caring, providing holistic patient assistance without time restrictions. However, due to this nature of work, it is common for these professionals to present symptoms of mental illnesses such as anxiety and depression. This results in a reduction in the quality of life at work, directly affecting the efficiency of care provision. This study aimed to verify the presence of anxiety and depression symptoms, as well as the index of quality of life at work among nurses working in the inpatient sector of public hospitals in the city of Aracaju. Among the 128 professionals included in the sample, 46.1% presented anxiety symptoms and 30.5% depression symptoms, according to the HADS scale. Additionally, 66.4% of nurses reported an unsatisfactory quality of life at work index (QLWI). The majority of professionals who presented symptoms of both diseases were female; 17.2% had two employment bonds, and 19.5% reported an unsatisfactory QLWI. Therefore, it is possible to infer that the accumulation of employment bonds and the reduction in quality of life at work may have been determining factors for the development of these symptoms. It is concluded that it is extremely important to improve working conditions, safety, and remuneration, as well as increase the institutional appreciation and recognition of nursing professionals. This would contribute to raising the quality of life indices at work and reducing the need for multiple employment bonds.

Assessment and Modeling of Water Quality in the Niger River: A Comprehensive Study Using Water Quality Indices and Intelligent Techniques

The Niger River is essential to the livelihoods of those in Bamako and its neighboring areas, providing vital resources for drinking water, agriculture, livestock, industry, and fishing. Given its significance across these sectors, there is a pressing need to establish an effective water resource management strategy that incorporates a thorough qualitative assessment of the river's water quality. This research seeks to characterize the water quality of the Niger River by employing Water Quality Indices (WQI) and intelligent modeling techniques. To fulfil this objective, various physicochemical parameters, including pH, electrical conductivity (EC), nitrate (NO3-), nitrite (NO2-), and iron (Fe), were collected from 40 sampling points along the river during three distinct periods: December 2017, March 2018, and July 2018. The study utilized a weighted arithmetic approach to compute the WQIs, while the predictive models were developed using two of the most famous and effective modeling techniques namely Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN). In order to evaluate the predictive performance of the models, the dataset was partitioned into three distinct segments, allocating 60% for training purposes, 20% for validation, and the remaining 20% for testing, with the segments organized in a sequence from upstream to downstream. The performance of both models was evaluated using metrics such as the correlation coefficient (r²), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). The computed Water Quality Indices (WQIs) vary from 0.44 to 1887.40, indicating a diverse range of water quality across the samples analyzed. The classification of these samples reveals that 62.5% are considered excellent, while 15% are categorized as good, another 15% as poor, 2.5% as very poor, and 5% as unsuitable for consumption. Furthermore, the results derived from ANN with five inputs, one hidden layer (13 neurons) and one output (WQI) demonstrates superior efficiency in assessing water quality.

Clinical Measures Associated with Subsequent Injury after Adolescent Concussion: A Prospective Cohort Study

ABSTRACT Purpose To examine associations between clinical measures (self-reported and clinician-administered) and subsequent injury rates in the year after concussion return to play (RTP) among adolescent athletes. Methods We performed a prospective, longitudinal study of adolescents ages 13-18 years. Each participant was initially assessed within 21 days of concussion and again within 5 days of receiving RTP clearance from their physician. Participants completed self-report measures: the Pittsburgh Sleep Quality Index (PSQI) and Tampa Scale of Kinesiophobia (TSK), and clinician-administered measures: single and dual-task tandem gait (TG) and reaction time (RT; simple and clinical) assessments. They then completed monthly surveys for a year after RTP which assessed exposure to injury (sport participation) and subsequent injuries (musculoskeletal or concussions) sustained. We used Poisson regression models to calculate injury rate ratios with number of subsequent injuries sustained as the outcome, adjusted for RTP clearance time and competitive exposures for each measure. Results 41 participants were included (age = 15.5±1.3 years, 56% female, 9.6±4.6 days post-concussion; 38.0±31.5 days to RTP). A higher injury rate per athletic exposure was observed for simple RT≥505 ms vs &lt;505 ms (injury rate ratio = 3.22; 95% confidence interval = 1.56, 7.12; p = 0.002). Injury rates did not significantly differ by PSQI or TSK scores, single/dual-task TG time, or clinical RT. Conclusions Simple reaction time may be one risk factor that is associated with higher rates of subsequent injury after adolescent concussion. A simple reaction time measure incorporated into a comprehensive concussion RTP assessment may identify some individuals at higher risk of subsequent injury in the year following concussion, though further research is needed to better understand this relationship.

Appraisal of contamination, hydrogeochemistry, and Monte Carlo simulation of health risks of groundwater in a lithium-rich ore area.

This study incorporated hydrogeochemical facies, the entropy-weighted water quality index (EWQI), multivariate statistics, and probabilistic human exposure assessment to investigate hydrogeochemistry, analyze groundwater quality, and estimate potential risks to human health in a lithium-rich ore area (Jadar River basin, Serbia). The findings designated the Ca·Mg-HCO3 hydrogeochemical type as the predominant type of groundwater, in which rock weathering and evaporation control the major ion chemistry. Due to the weathering of a lithium-rich mineral (Jadarite), the lithium content in the groundwater was very high, up to 567mg/L, with a median value of 4.3mg/L. According to the calculated EWQI, 86.4% of the samples belong to poor and extremely poor quality water for drinking. Geospatial mapping of the studied area uncovered several hotspots of severely contaminated groundwater. The risk assessment results show that groundwater contaminants pose significant non-carcinogenic and carcinogenic human health risks to residents, with most samples exceeding the allowable limits for the hazard index (HI) and the incremental lifetime cancer risk (ILCR). The ingestion exposure pathway has been identified as a critical contaminant route. Monte Carlo risk simulation made apparent that the likelihood of developing cancerous diseases is very high for both age groups. Sensitivity analysis highlighted ingestion rate and human body weight as the two most influential exposure factors on the variability of health risk assessment outcomes.

Psychometric properties of the revised internalized skin bias questionnaire.

The psychological impacts of skin disease are well documented, with patients reporting increased anxiety, depression and poorer quality of life. More recent studies suggest that adverse psychopathology is associated with re-direction of skin-disease-related social stigma towards oneself or internalized skin bias (ISB). To refine the Internalized Skin Bias Questionnaire (ISBQ) to reflect the construct of ISB with additional skin-specific biases as well as to evaluate its psychometric properties in a diverse sample of individuals with various skin conditions. Two-part observational design including consensus-building surveys among a dermatology expert group and a cross-sectional survey among participants with self-reported dermatological conditions to assess instrument psychometric properties. Eligible participants completed an online survey comprised of the revised ISBQ (ISBQ-R), the Questionnaire on Experiences with Skin Diseases-Short Form (QES-SF), the Dermatology Life Quality Index (DLQI), the Beck Depression Inventory-II (BDI-II) and the Burns Anxiety Inventory (BAI). Overall, 33 experts participated including 22 (66.7%) dermatologists or dermatology researchers and 11 (33.3%) patients. Except for three items in the first round, all items received high agreement for inclusion from the expert group. The revised survey was completed by 214 participants who identified mostly as female (n = 185; 86.9%), White (n = 182; 85.5%) and non-Hispanic/Latino (n = 200; 93.4%). Adding and modifying new items resulted in an instrument with stronger internal consistency (Cronbach's alpha = 0.92) and a stronger correlation with other existing stigma measures (QES-SF; ρ = 0.72). The ISBQ-R is a modified instrument with stronger internal consistency and a stronger correlation with other existing stigma measures. Additionally, the study further expanded upon previous research by exploring a two-factor structure, suggesting that the ISBQ-R could be used as a single- or a dual-factor instrument depending on investigator goals.

Evaluating the Prediction Performance of the WRF-CUACE Model in Xinjiang, China

Dust and air pollution events are increasingly occurring around the Taklimakan Desert in southern Xinjiang and in the urban areas of northern Xinjiang. Predicting such events is crucial for the advancement, growth, and prosperity of communities. This study evaluated a dust and air pollution forecasting system based on the Weather Research and Forecasting model coupled with the China Meteorological Administration Chemistry Environment (WRF-CUACE) model using ground and satellite observations. The results showed that the forecasting system accurately predicted the formation, development, and termination of dust events. It demonstrated good capability for predicting the evolution and spatial distribution of dust storms, although it overestimated dust intensity. Specifically, the correlation coefficient (R) between simulated and observed PM10 was up to 0.85 with a mean absolute error (MAE) of 721.36 µg·m−3 during dust storm periods. During air pollution events, the forecasting system displayed notable variations in predictive accuracy across various urban areas. The simulated trends of PM2.5 and the Air Quality Index (AQI) closely aligned with the actual observations in Ürümqi. The R for simulated and observed PM2.5 concentrations at 24 and 48 h intervals were 0.60 and 0.54, respectively, with MAEs of 28.92 µg·m−3 and 29.10 µg·m−3, respectively. The correlation coefficients for simulated and observed AQIs at 24 and 48 h intervals were 0.79 and 0.70, respectively, with MAEs of 24.21 and 27.56, respectively. The evolution of the simulated PM10 was consistent with observations despite relatively high concentrations. The simulated PM2.5 concentrations in Changji and Shihezi were notably lower than those observed, resulting in a lower AQI. For PM10, the simulation–observation error was relatively small; however, the trends were inconsistent. Future research should focus on optimizing model parameterization schemes and emission source data.

Association of Cannabis Use Reduction With Improved Functional Outcomes: An Exploratory Aggregated Analysis From Seven Cannabis Use Disorder Treatment Trials to Extract Data-Driven Cannabis Reduction Metrics.

This exploratory analysis sought to determine whether decreases in cannabis use are associated with improvements in cannabis-related problems and functional outcomes, and if so, what percentage decrease is associated with improvement. Data were aggregated from seven cannabis use disorder treatment trials conducted in the United States (N=920; ages 13 years and older; mean age, 25 years; 30% female, 7% Black, 11% Hispanic/Latinx). Outcome measures included the patient-reported Marijuana Problems Scale (MPS), Health-Related Quality of Life scale (HRQOL), and Pittsburgh Sleep Quality Index and the clinician-rated Clinical Global Impressions (CGI) severity and improvement scales (CGI-S and CGI-I). Generalized estimating equations tested the association between changes in 4-week cannabis use and improvements in functional outcomes. Classification and regression tree (CART) models were developed to determine what reductions in cannabis use could be used as classifiers of improvement. Decreases in the amount and frequency of cannabis use were significantly associated with improvements in MPS severity and total scores as well as improvements on the CGI-I and in sleep quality, but not improvements on the HRQOL. CART models performed best for CGI-I scores (72%-75% correct classification), while other outcome measures did not perform as well (40%-62% correct classification). CART models showed improvements on the CGI at 74% reduction in use amounts and 47% reduction in use days. Reductions in cannabis use (∼50% reduction in use days and ∼75% reduction in use amounts) were associated with clinician-assessed improvement, which suggests that cannabis use reduction may yield benefit among individuals with cannabis use disorder. These exploratory results extract a data-driven metric to inform future studies, clinicians, patients, and policy recommendations.

Comparative Approach to Performance Estimation of Pulsed Wave Doppler Equipment Based on Kiviat Diagram

Quality assessment of ultrasound medical systems is a demanding task due to the high number of parameters to quantify their performance: in the present study, a Kiviat diagram-based integrated approach was proposed to effectively combine the contribution of some experimental parameters and quantify the overall performance of pulsed wave Doppler (PWD) systems for clinical applications. Four test parameters were defined and assessed through custom-written measurement methods based on image analysis, implemented in the MATLAB environment, and applied to spectral images of a flow phantom, i.e., average maximum velocity sensitivity (AMVS), velocity measurements accuracy (VeMeA), lowest detectable signal (LDS), and the velocity profile discrepancy index (VPDI). The parameters above were scaled in a standard range to represent the four vertices of a Kiviat plot, whose area was considered the overall quality index of the ultrasound system in PWD mode. Five brand-new ultrasound diagnostic systems, equipped with linear array probes, were tested in two different working conditions using a commercial flow phantom as a reference. The promising results confirm the robustness of AMVS, VeMeA, and LDS parameters while suggesting further investigations on the VPDI.

Bruxism and Sleep Disorders in Patients Diagnosed With Depressive Disorder and Anxiety Disorder UsingAntidepressants.

To investigate the frequency of bruxism, factors associated with bruxism and sleep disorders in patients diagnosed with depressive disorder and anxiety disorder who use antidepressants. A total of 273 patients diagnosed with anxiety disorder or depression who had been using antidepressants for at least 1 month were included, along with 273 healthy control groups. The patient and control groups completed a sociodemographic data form, Epworth Daytime Sleepiness Scale (EDSS), Pittsburgh Sleep Quality Index (PSQI) and a bruxism questionnaire. Additionally, the clinician confirmed the diagnosis of bruxism through a clinical interview. Bruxism was detected in 73.3% of the patient group and 28.2% of the control group (p < 0.001). The most commonly used antidepressants among patients were selective serotonin reuptake inhibitors (SSRIs) such as escitalopram and sertraline. Within the patient group, individuals with bruxism had higher family history rates of teeth grinding (p = 0.034), PSQI scores (p < 0.001) and EDSS scores (p < 0.001) compared to those without bruxism. Positive correlations were found between the presence of bruxism and PSQI (p < 0.001) scores as well as EDSS scores (p < 0.001) in both the patient group and all participants. Regression analysis conducted on the entire sample revealed that family history rates of teeth grinding (p < 0.001), antidepressant use (p < 0.001) and PSQI score (p = 0.004) were associated with bruxism. The findings from this study suggest that a majority of patients diagnosed with depressive or anxiety disorders may experience bruxism, particularly those using SSRI-type antidepressants. Furthermore, individuals with bruxism may have poor sleep quality and excessive daytime sleepiness tendencies.

Groundwater quality assessment for drinking and irrigation purposes in arid to semiarid region of Indus Basin of South Punjab, Pakistan

&lt;p&gt;&lt;a name="_Hlk173243332"&gt;&lt;span style="background-color:white;color:black;font-family:&amp;quot;Times New Roman&amp;quot;,serif;font-size:12.0pt;line-height:150%;"&gt;As the groundwater pollution is increasing, it is crucial to assess groundwater quality and characterize hydrogeochemistry accurately for long term water supply.&amp;nbsp;&lt;/span&gt;&lt;/a&gt;&lt;span style="background-color:white;color:black;font-family:&amp;quot;Times New Roman&amp;quot;,serif;font-size:12.0pt;line-height:150%;"&gt;In this study groundwater samples were collected from 120 locations from Bahawalpur district and analyzed for electrical conductivity (EC), pH, total dissolved solids (TDS), sodium (Na&lt;sup&gt;+&lt;/sup&gt;), potassium (K&lt;sup&gt;+&lt;/sup&gt;), calcium (Ca&lt;sup&gt;2+&lt;/sup&gt;), magnesium (Mg&lt;sup&gt;2+&lt;/sup&gt;), carbonate (CO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;), bicarbonate (HCO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;), sulfate (SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2-&lt;/sup&gt;), chloride (Cl&lt;sup&gt;-&lt;/sup&gt;), nitrate (NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;), fluoride (F&lt;sup&gt;-&lt;/sup&gt;) and heavy metals. The results obtained from the analysis of samples showed that the SAR of nearly 65% of samples collected from Bahawalpur district were in acceptable limit (&amp;lt;6 meq L&lt;sup&gt;-1&lt;/sup&gt;), while 12% found to be unfit for irrigation (&amp;gt;10 meq L&lt;sup&gt;-1&lt;/sup&gt;). Similarly, the RSC values depicted that 8% samples were unfit while 64% samples were falling in the category of fit irrigation water. Most of the water samples were predominantly Ca&lt;sup&gt;2+&lt;/sup&gt;-HCO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt; and Na&lt;sup&gt;+&lt;/sup&gt;-HCO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt; type, that were controlled by various processes of cation exchange, water-rock interaction, dissolution and evaporation. Some samples fall in the&amp;nbsp;middle of diamond and lower triangles of Piper diagram are showing no dominant type of water (mixed water type) due to the complex influence of rock-water interactions as well as anthropogenic activities. The Water Quality Index (WQI) showed that&amp;nbsp;out of total 120 sampling sites in Bahawalpur the number of excellent water samples were only 2% while 18% water samples were characterized as hazardous. Moreover, the number of samples falling in the categories of good, poor and very poor quality water were 36%, 29% and 13% respectively.&lt;/span&gt;&lt;/p&gt;

Active packaging coating based on Lepidium sativum seed mucilage and propolis extract: Preparation, characterization, application and modeling the preservation of buffalo meat.

Buffalo meat is naturally perishable, making it susceptible to spoilage due to its high moisture content and vulnerability to microbial contamination. Edible coatings have attracted attention as a packaging method that can prolong the shelf life of meat. The study aimed to examine the impact of a combination of Lepidium sativum mucilage (LS) coating and propolis extract (PE) on prolonging the shelf life of buffalo meat. The chemical characteristics (chemical compounds, total phenol content (TPC), total flavonoid content (TFC), antioxidant activity, and cytotoxicity) and antimicrobial activity of the PE (disk diffusion agar, well diffusion agar, minimum inhibitory concentration, and minimum bactericidal concentration) were investigated. The effect of the PE on the cell wall of pathogenic bacteria was examined using a scanning electron microscope. Biological properties of LS (TPC, TFC, antioxidant activity and antimicrobial effect (pour plate method)) was investigated. Different concentrations of PE (0, 0.5, 1.5, and 2.5%) were added to the coating mixture containing LS, and their effects on extending the shelf life of buffalo meat samples stored at 4°C for 9 days were assessed. The PE included gallic acid, benzoic acid, syringic acid, 4-3 dimethoxy cinnamic acid, p-coumaric acid, myricetin, caffeic acid, luteolin, chlorogenic acid, and apigenin. The PE was determined to have a TPC of 36.67 ± 0.57 mg GAE/g and a TFC of 48.02 ± 0.65 mg QE/g. The extract's radical scavenging activity ranged from 0 to 76.22% for DPPH radicals and from 0 to 50.31% for ABTS radicals. The viability of C115 HeLa cell was observed to be 94.14 μg/mL. The PE and LS, exhibited strong antimicrobial properties against pathogenic bacteria. The LS was determined to have a TPC of 15.23 ± 0.43 mg GAE/g and a TFC of 11.51± 0.61 mg QE/g. The LS was determined to have a DPPH of 429.65 ± 1.28 μg/mL and a ABTS of 403.59 ± 1.46 μg/mL. The microbiological analysis revealed that the LS+2.5%PE treatment was the most effective in inhibiting the growth of total viable count (6.23 vs. 8.00 log CFU/g), psychrotrophic bacteria count (3.71 vs. 4.73 log CFU/g), coliforms count (2.78 vs. 3.70 log CFU/g), and fungi count (2.39 vs. 3.93 log CFU/g) compared to the control sample. The addition of PE to the edible coating also demonstrated a concentration-dependent effect on preserving the moisture, pH, color, and hardness of the buffalo meat. Sensory evaluation results suggested that incorporating PE into the edible coating extended the shelf life of buffalo meat by three days. In the second stage of this paper, this investigation employed two distinct forecasting methodologies: the Radial Basis Function (RBF) and the Support Vector Machine (SVM), to predict a range of quality indicators for coated meat products. Upon comparison, the RBF model exhibited a higher level of accuracy, showcasing its exceptional capacity to closely match the experimental outcomes. Therefore, this type of food coating, renowned for its strong antimicrobial properties, has the potential to effectively package and preserve perishable and delicate food items, such as meat.

Показатели и алгоритмы оценивания качества результатов идентификации состояния прилегающих территорий

Machine learning methods for identification of territories near railway infrastructure facilities are considered. The main sources of initial data are presented, as well as algorithms for assessing the quality of the results for landscape elements automated identification using the forest vegetation example. Forest vegetation state identification is carried out based on spectral-brightness characteristics determined using multispectral aerospace imaging materials. Quality indicators for the results of survey materials automated processing and algorithms for calculating the considered indicators are proposed. Examples are given to assess the results quality of using machine learning methods.

Strengthening crisis resilience in German primary care by using quality indicators: findings of a process evaluation in the RESILARE project

BackgroundIn recent years, health systems worldwide have been confronted with several crises such as natural disasters or the COVID-19 pandemic, that affected lives and health of many people. In light of waves of infections and heat, climate change is considered to be the biggest health threat of the 21st century. Strengthening individual and organizational crisis resilience in healthcare settings thus becomes a crucial factor in maintaining care quality and protecting vulnerable patients during such crises. The RESILARE project therefore aimed to develop and evaluate quality indicators that support primary care practices in preparing for and adapting to crisis-related challenges.MethodsIn a three-phased process, indicator development was based on systematic literature research and qualitative data, a two-stage expert panel process, and pilot testing in a maximum of n = 35 ambulatory practices during an outreach visit. Practice-individual indicator-related status and benchmarking information were provided via feedback reports to complete the audit and feedback program. A mixed-methods process evaluation used semistructured interviews with participating General practitioners and nonphysician health professionals to explore support and challenges for the implementation of the derived set of quality indicators. Two online surveys were conducted to evaluate all indicators and the two-part feedback report. Qualitative data were analyzed inductively using a thematic analysis approach. Survey data were analyzed descriptively.ResultsA total of n = 32 indicators covered four domains: (1) individual resilience, (2) crisis prevention, (3) organizational resilience, and (4) climate resilience. N = 34 practices participated in the piloting and the process evaluation. Participants generally attributed a high relevance to the domains, and considered the indicator set suitable for implementation into existing quality management systems. Planning and implementation of measures that strengthen crisis resilience in practices were triggered or intensified by piloting the indicators and by the two-part feedback report. The identified challenges involved the volume of indicators and practice-individual implementation of renewable energy sources on rented premises. Participants expressed their desire for peer exchange regarding proven concepts for crisis resilience.

Successive monoculture of Eucalyptus spp. alters the structure and network connectivity, rather than the assembly pattern of rhizosphere and bulk soil bacteria

Eucalyptus as a fast-growing timber tree plays a crucial role in maintaining wood supplication and ecosystem balance worldwide. Nonetheless, the management practices of Eucalyptus plantation in southern China have resulted in productivity decline and soil degradation due to high-intensity successive cultivation. Soil bacteria is a sensitive indicator of soil quality, how does the successive planting of Eucalyptus regulate the soil bacterial community structure for instance the abundance of oligotrophic bacteria, network complexity, and soil bacteria assembly remain ambiguity. To explicate the underlying influencing mechanisms of successive cultivation of Eucalyptus plantations on soil bacterial community structure. Four harvests of Eucalyptus plantations that underwent 0, 1, 2, and 3 times of harvesting were conducted to examine variations in the bacterial community between rhizosphere and bulk soils after successive planting of Eucalyptus. An adjacent evergreen broadleaf forest was employed as control. The present study revealed that successive planting of Eucalyptus increased and reduced the relative abundance of Chloroflexi (oligotrophic bacteria) and Proteobacteria (copiotrophic bacteria), respectively. Continuous planting of Eucalyptus did not modify the assembly pattern of soil bacterial communities, which was governed by stochastic processes. Successive planting of Eucalyptus decreased co-occurrence network complexity, and elevated the proportion of rare microorganisms in the keystone bacterial taxa. Soil particle size composition (clay, silt, sand) indirectly influenced the structure of soil bacterial communities by directly affecting pH, carbon, nutrients, and their stoichiometric ratios. Improving soil physical structure, increasing the input of soil carbon, nitrogen, and other nutrient resources, and maintaining a balanced resource allocation may be effective strategies for ensuring enhanced productivity and sustainable utilization of soil in successive Eucalyptus plantations.